Triple

T7761828
Position Surface form Disambiguated ID Type / Status
Subject Finsbury Park station E176039 entity
Predicate hasStationCode P1289 FINISHED
Object FPK
FPK is the National Rail station code for Finsbury Park railway station in north London.
 E688004 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FPK | Statement: [Finsbury Park station, hasStationCode, FPK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FPK
Context triple: [Finsbury Park station, hasStationCode, FPK]
  • A. FPF
    FPF is the Portuguese Football Federation, the national governing body responsible for organizing and overseeing football in Portugal, including its national teams.
  • B. FKP
    FKP is the ISO 4217 currency code for the Falkland Islands pound, the official currency of the Falkland Islands.
  • C. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • D. FK
    FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
  • E. FKS
    FKS is the common abbreviation for FK Sarajevo, a professional football club based in Sarajevo, Bosnia and Herzegovina.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FPK
Triple: [Finsbury Park station, hasStationCode, FPK]
Generated description
FPK is the National Rail station code for Finsbury Park railway station in north London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FPK
Target entity description: FPK is the National Rail station code for Finsbury Park railway station in north London.
  • A. FPF
    FPF is the Portuguese Football Federation, the national governing body responsible for organizing and overseeing football in Portugal, including its national teams.
  • B. FKP
    FKP is the ISO 4217 currency code for the Falkland Islands pound, the official currency of the Falkland Islands.
  • C. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • D. FK
    FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
  • E. FKS
    FKS is the common abbreviation for FK Sarajevo, a professional football club based in Sarajevo, Bosnia and Herzegovina.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70404c2108190ad2b900ac9bf582b completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7d658888190af97b83127086a2b completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c87bca908190a44e839824c23e95 completed March 29, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8e5e9f081908288b38ea25e81d2 completed March 29, 2026, 6:38 a.m.
Created at: March 27, 2026, 4:09 p.m.